| summary.mc {mc2d} | R Documentation |
Summary of mcnode and mc Object
Description
Provides a summary of a ‘mcnode’, a ‘mc’ or a ‘mccut’ object.
Usage
## S3 method for class 'mc'
summary(object, probs=c(0, 0.025, 0.25, 0.5, 0.75, 0.975, 1), lim=c(0.025,
0.975), ...)
## S3 method for class 'mcnode'
summary(object, probs=c(0, 0.025, 0.25, 0.5, 0.75, 0.975, 1), lim=c(0.025,
0.975), digits=3, ...)
## S3 method for class 'mc'
print.summary(x, digits=3, ...)
## S3 method for class 'mccut'
summary(object, lim=c(0.025, 0.975), ...)
Arguments
object |
a ‘mcnode’ or a ‘mc’ object or a ‘mccut’ object. |
x |
A ‘summary.mc’ object as provided by the ‘summary.mc’ function. |
probs |
A vector of values used for the quantile function (variability dimension). |
digits |
Number of digits in the print. |
lim |
A vector of values used for the quantile function (uncertainty dimension). |
... |
For generic functions consistency. |
Details
The mean, the standard deviation and the ‘probs’ quantiles will be evaluated in the variability dimension. The median, the mean and the ‘lim’ quantiles will then be evaluated on these statistics in the uncertainty dimension.
Multivariate nodes:
If the ‘"outm"’ attributes of the mcnode is "none", the node is not evaluated, if it is "each" the variates are evaluated one by one, if it is a function (e.g. "mean"), the function is applied on the ‘nvariates’ dimension before providing a classical output.
Value
a list.
See Also
mcnode for mcnode objects, mc for mc
objects, mccut for mccut objects,
quantile
Examples
data(total)
summary(xVUM3)
summary(total)